Automotive Full-Stack Software Engineer

Gruve; Palo Alto (CA); On-site; USD 150,000 - 175,000; Full time

Job summary

A technology startup in Palo Alto is seeking an experienced professional to join their HMI team. The role focuses on implementation, machine learning, and AI-driven interface design, requiring deep technical expertise in embedded systems and HMI software. Candidates should have a Bachelor’s in a related field and extensive experience in relevant technologies. This position offers a competitive salary ranging from $150,000 to $175,000 per year and fosters a culture of innovation and collaboration.

Qualifications

• 5+ years of industry experience, or 10+ years of equivalent hands-on experience.
• Strong background in machine learning and artificial intelligence for interface and interaction design.
• Proven track record working with Linux-based systems in embedded environments.

Responsibilities

• Collaborate closely with the HMI team to design and implement advanced user interfaces.
• Apply machine learning techniques to enhance interaction design and improve usability.
• Build and maintain robust data communication and software infrastructure.

Skills

C#

CAN (Controller Area Network) protocols

WebSockets

Data communication

Machine learning

Embedded software development

Linux-based systems

Collaboration and communication

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field

Job description

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

About the Role

We are seeking an experienced professional to join our HMI team, with a strong focus on implementation, machine learning, and AI-driven interface design. This role requires deep technical expertise in embedded systems, HMI software, and communication protocols, with the ability to create intuitive and efficient user interactions.

Responsibilities

• Collaborate closely with the HMI team to design and implement advanced user interfaces.
• Apply machine learning techniques to enhance interaction design and improve usability.
• Develop and optimize instrument cluster front ends and HMI software.
• Work with Linux-based systems, with a focus on transitioning into embedded environments.
• Build and maintain robust data communication and software infrastructure using industry-standard protocols.

Basic Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of industry experience, or 10+ years of equivalent hands-on experience.
• Proficiency in C#, CAN (Controller Area Network) protocols, WebSockets, and data communication.

Preferred Qualifications

• Strong background in machine learning and artificial intelligence for interface and interaction design.
• Experience in embedded software development with a developer mindset.
• Proven track record working with Linux-based systems in embedded environments.
• Familiarity with instrument cluster front ends and HMI software.
• Ability to design scalable, efficient, and reliable software infrastructure.
• Strong problem-solving, debugging, and optimization skills.
• Excellent collaboration and communication abilities within cross-functional teams.

Salary

$150,000 - $175,000 USD

This position is being hired for a customer of Gruve.

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.